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Performance Adaptive Frequency Switching and Reuse in Cognitive Radio for Enhancing Data Transmission

R.Venkatesh 1 , S.Vijayakumar 2

Section:Review Paper, Product Type: Journal Paper
Volume-4 , Issue-4 , Page no. 354-360, Apr-2016

Online published on Apr 27, 2016

Copyright © R.Venkatesh, S.Vijayakumar . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: R.Venkatesh, S.Vijayakumar, “Performance Adaptive Frequency Switching and Reuse in Cognitive Radio for Enhancing Data Transmission,” International Journal of Computer Sciences and Engineering, Vol.4, Issue.4, pp.354-360, 2016.

MLA Style Citation: R.Venkatesh, S.Vijayakumar "Performance Adaptive Frequency Switching and Reuse in Cognitive Radio for Enhancing Data Transmission." International Journal of Computer Sciences and Engineering 4.4 (2016): 354-360.

APA Style Citation: R.Venkatesh, S.Vijayakumar, (2016). Performance Adaptive Frequency Switching and Reuse in Cognitive Radio for Enhancing Data Transmission. International Journal of Computer Sciences and Engineering, 4(4), 354-360.

BibTex Style Citation:
@article{_2016,
author = {R.Venkatesh, S.Vijayakumar},
title = {Performance Adaptive Frequency Switching and Reuse in Cognitive Radio for Enhancing Data Transmission},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2016},
volume = {4},
Issue = {4},
month = {4},
year = {2016},
issn = {2347-2693},
pages = {354-360},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=945},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=945
TI - Performance Adaptive Frequency Switching and Reuse in Cognitive Radio for Enhancing Data Transmission
T2 - International Journal of Computer Sciences and Engineering
AU - R.Venkatesh, S.Vijayakumar
PY - 2016
DA - 2016/04/27
PB - IJCSE, Indore, INDIA
SP - 354-360
IS - 4
VL - 4
SN - 2347-2693
ER -

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Abstract

Research in Remote Sensor Systems has witnessed a tremendous increment in the last two decades. Apart from military surveillance, remote sensor framework (WSN) have been conveyed in the ranges of healthcare monitoring, oil-field explorations, nuclear power plant monitoring, underwater exercises surveillance, and geo-informatics. However, with the expanded sending of WSN utilizing the unauthorized range band (that is, the Industrial Scientific and Medical-ISM), there is an expanding demand for correspondence channels inside this band due to over-crowding of the band. Critical issues in sensor systems is the need to minimize vitality use without undermining the quality of administration (QoS) provisioning of the network. With the worldview shift in remote correspondences towards Intellectual Radio (CR) technology, it is believed that the issue of rare range in the unauthorized bands, and short framework lifetime rocking the WSN applications in the unauthorized band can be mitigated. In this paper, we present a Intellectual radio-based remote sensor framework (CRWSN), and propose a outline idea for this relatively new sensor framework paradigm. Also, we highlighted conceivable prospects and challenges related with the improvement and sending of this worldview in sensor networks. This, we accept will pave way for the next-era (NG) sensor framework applications.

Key-Words / Index Term

CR-WSN, Energy, Sensing, Communication, Channels, Spectrum, Next-Generation

References

[1] Amna Jamal; Chen-Khong Tham; Wai-Choong Wong, “CR-WSN MAC: An energy efficient and spectrum aware MAC protocol for cognitive radio sensor network”, 2014 9th International Conference on Cognitive Radio Oriented Wireless Networks and, Communications (CROWNCOM), Year: 2014, Pages: 67 – 72.
[2] Ashwin Alur Sreesha; Shashank Somal; I-Tai Lu, “Cognitive Radio Based Wireless Sensor Network architecture for smart grid utility”, Systems, Applications and Technology Conference (LISAT), 2011 IEEE Long Island, Year: 2011, Pages: 1 – 7.
[3] Haythem Bany Salameh; Mohammed F. Dhainat; Ali Al-Hajji; Raed Aqeli;Mohammad Fathi, “A Two-Level Cluster-Based Cognitive Radio Sensor Network: System Architecture, Hardware Design, and Distributed Protocols”, Cloud Engineering (IC2E), 2015 IEEE International Conference on, Year: 2015, Pages: 287 – 292.
[4] Zhaowei Qu; Yang Xu; Sixing Yin, “A novel clustering-based spectrum sensing in cognitive radio wireless sensor networks”, 2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems, Year: 2014, Pages: 695 – 699.
[5] Mustapha; Borhanuddin M. Ali; A. Sali; Mohd F. A. Rasid; H. Mohamad, “Energy-aware cluster based cooperative spectrum sensing for cognitive radio sensor networks”, Telecommunication Technologies (ISTT), 2014 IEEE 2nd International Symposium on, Year: 2014, Pages: 45 – 50.
[6] Kok-Lim Alvin Yau; Peter Komisarczuk; Paul D. Teal, “Cognitive Radio-based Wireless Sensor Networks: Conceptual design and open issues”, Cognitive Radio-based Wireless Sensor Networks: Conceptual design and open issues, 2009 IEEE 34th Conference on Local Computer Networks, Year: 2009, Pages: 955 – 962.
[7] Mostafa Hefnawi, “Large-Scale Multi-Cluster MIMO Approach for Cognitive Radio Sensor Networks”, IEEE Sensors Journal,Year: 2016, Volume: 16, Issue: 11, Pages: 4418 – 4424.
[8] Xiang Sheng; Jian Tang; Weiyi Zhang, “Energy-efficient collaborative sensing with mobile phones”, INFOCOM, 2012 Proceedings IEEE, Year: 2012, Pages: 1916 – 1924.
[9] Sagar Venkatesh Gubbi; Bharadwaj Amrutur”, All Digital Energy Sensing for Minimum Energy Tracking”, IEEE Transactions on Very Large Scale Integration (VLSI) Systems, Year: 2015, Volume: 23, Issue: 4,Pages: 796 – 800.
[10] Miguel Luís; António Furtado; Rodolfo Oliveira; Rui Dinis; Luis Bernardo, “Energy sensing parameterization criteria for cognitive radios”, 2012 International Symposium on Wireless Communication Systems (ISWCS), Year: 2012, Pages: 61 – 65.
[11] Yildiz Sinangil; Anantha P. Chandrakasan” An embedded energy monitoring circuit for a 128kbit SRAM with body-biased sense-amplifiers”, Solid State Circuits Conference (A-SSCC), 2012 IEEE Asian, Year: 2012, Pages: 69 – 72.
[12] Yildiz Sinangil; Anantha P. Chandrakasan, “A 128 Kbit SRAM With an Embedded Energy Monitoring Circuit and Sense-Amplifier Offset Compensation Using Body Biasing”, IEEE Journal of Solid-State Circuits, Year: 2014, Volume: 49, Issue: 11, Pages: 2730 – 2739.
[13] Ali O. Ercan; M. Oguz Suna, “Energy Sensing Strategy Optimization for Opportunistic Spectrum Access”, IEEE Communications Letters, Year: 2012, Volume: 16, Issue: 6, Pages: 828 – 830.
[14] Rafael Send; Qiliang Richard Xu; Igor Paprotny; Richard M. White; Paul K. Wright, “Granular Radio EnErgy-sensing Node (GREEN): A 0.56 cm3 wireless stick-on node for non-intrusive energy monitoring”, SENSORS, 2013 IEEE, Year: 2013, Pages: 1 – 4.
[15] Kameswari Chebrolu; Ashutosh Dhekne, “Esense: Energy Sensing-Based Cross-Technology Communication”, IEEE Transactions on Mobile Computing, Year: 2013, Volume: 12, Issue: 11, Pages: 2303 – 2316.